{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyM9lBE8OeiOGH48fGLBvE57",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/faizaslam11/ECG_model_arrhythmia/blob/main/Ecg_model_train_test.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "# Load the cleaned data\n",
        "cleaned_data_path = '/content/all-samples-training-cleaned.csv'\n",
        "df_cleaned = pd.read_csv(cleaned_data_path)\n",
        "\n",
        "# Extract features and labels\n",
        "features = df_cleaned.drop('Arrhythmia', axis=1)\n",
        "labels = df_cleaned['Arrhythmia']\n",
        "\n",
        "# Split into training and testing sets (e.g., 80% training, 20% testing)\n",
        "X_train, X_test, y_train, y_test = train_test_split(features, labels, test_size=0.2, random_state=42)\n",
        "\n",
        "# Create DataFrames for training and testing data\n",
        "train_data = pd.concat([X_train, y_train], axis=1)\n",
        "test_data = pd.concat([X_test, y_test], axis=1)\n",
        "\n",
        "# Save training and testing datasets to separate CSV files\n",
        "train_data_path = '/content/ecg-training-data.csv'\n",
        "test_data_path = '/content/ecg-testing-data.csv'\n",
        "\n",
        "train_data.to_csv(train_data_path, index=False)\n",
        "test_data.to_csv(test_data_path, index=False)\n",
        "\n",
        "train_data_path, test_data_path"
      ],
      "metadata": {
        "id": "y-oxn4OF0xoh",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6909386e-6058-4587-e446-6ece1da4e59b"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "('/content/ecg-training-data.csv', '/content/ecg-testing-data.csv')"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.preprocessing import StandardScaler, LabelEncoder\n",
        "from tensorflow.keras import layers, models\n",
        "\n",
        "# Load your pre-split training and testing datasets\n",
        "train_data_path = '/content/ecg-training-data.csv'\n",
        "test_data_path = '/content/ecg-testing-data.csv'\n",
        "\n",
        "train_df = pd.read_csv(train_data_path)\n",
        "test_df = pd.read_csv(test_data_path)\n",
        "\n",
        "# Extract features and labels for training and testing\n",
        "X_train = train_df.drop('Arrhythmia', axis=1)\n",
        "y_train = train_df['Arrhythmia']\n",
        "\n",
        "X_test = test_df.drop('Arrhythmia', axis=1)\n",
        "y_test = test_df['Arrhythmia']\n",
        "\n",
        "# Encode labels\n",
        "label_encoder = LabelEncoder()\n",
        "y_train_encoded = label_encoder.fit_transform(y_train)\n",
        "y_test_encoded = label_encoder.transform(y_test)\n",
        "\n",
        "# Scale features\n",
        "scaler = StandardScaler()\n",
        "X_train_scaled = scaler.fit_transform(X_train)\n",
        "X_test_scaled = scaler.transform(X_test)\n",
        "\n",
        "# Reshape data for RNN input (samples, timesteps, features)\n",
        "X_train_rnn = np.expand_dims(X_train_scaled, axis=2)\n",
        "X_test_rnn = np.expand_dims(X_test_scaled, axis=2)\n",
        "\n",
        "# Build the RNN model\n",
        "rnn_model = models.Sequential([\n",
        "    layers.LSTM(64, input_shape=(X_train_rnn.shape[1], 1), return_sequences=True),\n",
        "    layers.LSTM(32),\n",
        "    layers.Dense(16, activation='relu'),\n",
        "    layers.Dense(len(np.unique(y_train_encoded)), activation='softmax')  # Output layer for classification\n",
        "])\n",
        "\n",
        "# Compile the model\n",
        "rnn_model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy'])\n",
        "\n",
        "# Train the model and capture history\n",
        "rnn_history = rnn_model.fit(X_train_rnn, y_train_encoded, epochs=20, batch_size=32, validation_data=(X_test_rnn, y_test_encoded))\n",
        "\n",
        "# Plot training vs. validation accuracy and loss\n",
        "plt.figure(figsize=(12, 5))\n",
        "plt.subplot(1, 2, 1)\n",
        "plt.plot(rnn_history.history['accuracy'], label='Training Accuracy')\n",
        "plt.plot(rnn_history.history['val_accuracy'], label='Validation Accuracy')\n",
        "plt.xlabel('Epochs')\n",
        "plt.ylabel('Accuracy')\n",
        "plt.legend()\n",
        "plt.title('Model Accuracy Over Epochs')\n",
        "\n",
        "plt.subplot(1, 2, 2)\n",
        "plt.plot(rnn_history.history['loss'], label='Training Loss')\n",
        "plt.plot(rnn_history.history['val_loss'], label='Validation Loss')\n",
        "plt.xlabel('Epochs')\n",
        "plt.ylabel('Loss')\n",
        "plt.legend()\n",
        "plt.title('Model Loss Over Epochs')\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "1cxzNfwiWuni",
        "outputId": "57181aa6-2153-49bb-b3c8-5f7b68970e99"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/20\n",
            "74/74 [==============================] - 6s 23ms/step - loss: 0.5137 - accuracy: 0.9531 - val_loss: 0.0914 - val_accuracy: 0.9744\n",
            "Epoch 2/20\n",
            "74/74 [==============================] - 1s 10ms/step - loss: 0.0873 - accuracy: 0.9684 - val_loss: 0.0680 - val_accuracy: 0.9813\n",
            "Epoch 3/20\n",
            "74/74 [==============================] - 1s 10ms/step - loss: 0.0683 - accuracy: 0.9731 - val_loss: 0.0626 - val_accuracy: 0.9796\n",
            "Epoch 4/20\n",
            "74/74 [==============================] - 1s 10ms/step - loss: 0.0598 - accuracy: 0.9718 - val_loss: 0.0536 - val_accuracy: 0.9813\n",
            "Epoch 5/20\n",
            "74/74 [==============================] - 1s 10ms/step - loss: 0.0506 - accuracy: 0.9761 - val_loss: 0.0510 - val_accuracy: 0.9847\n",
            "Epoch 6/20\n",
            "74/74 [==============================] - 1s 10ms/step - loss: 0.0452 - accuracy: 0.9834 - val_loss: 0.0499 - val_accuracy: 0.9864\n",
            "Epoch 7/20\n",
            "74/74 [==============================] - 1s 10ms/step - loss: 0.0411 - accuracy: 0.9817 - val_loss: 0.0518 - val_accuracy: 0.9864\n",
            "Epoch 8/20\n",
            "74/74 [==============================] - 1s 13ms/step - loss: 0.0420 - accuracy: 0.9855 - val_loss: 0.0471 - val_accuracy: 0.9898\n",
            "Epoch 9/20\n",
            "74/74 [==============================] - 1s 16ms/step - loss: 0.0366 - accuracy: 0.9846 - val_loss: 0.0382 - val_accuracy: 0.9898\n",
            "Epoch 10/20\n",
            "74/74 [==============================] - 1s 16ms/step - loss: 0.0345 - accuracy: 0.9872 - val_loss: 0.0497 - val_accuracy: 0.9864\n",
            "Epoch 11/20\n",
            "74/74 [==============================] - 1s 10ms/step - loss: 0.0354 - accuracy: 0.9868 - val_loss: 0.0388 - val_accuracy: 0.9898\n",
            "Epoch 12/20\n",
            "74/74 [==============================] - 1s 10ms/step - loss: 0.0356 - accuracy: 0.9859 - val_loss: 0.0434 - val_accuracy: 0.9898\n",
            "Epoch 13/20\n",
            "74/74 [==============================] - 1s 10ms/step - loss: 0.0334 - accuracy: 0.9898 - val_loss: 0.0394 - val_accuracy: 0.9898\n",
            "Epoch 14/20\n",
            "74/74 [==============================] - 1s 10ms/step - loss: 0.0327 - accuracy: 0.9885 - val_loss: 0.0429 - val_accuracy: 0.9898\n",
            "Epoch 15/20\n",
            "74/74 [==============================] - 1s 10ms/step - loss: 0.0321 - accuracy: 0.9868 - val_loss: 0.0430 - val_accuracy: 0.9881\n",
            "Epoch 16/20\n",
            "74/74 [==============================] - 1s 11ms/step - loss: 0.0387 - accuracy: 0.9859 - val_loss: 0.0355 - val_accuracy: 0.9898\n",
            "Epoch 17/20\n",
            "74/74 [==============================] - 1s 10ms/step - loss: 0.0283 - accuracy: 0.9893 - val_loss: 0.0378 - val_accuracy: 0.9898\n",
            "Epoch 18/20\n",
            "74/74 [==============================] - 1s 10ms/step - loss: 0.0287 - accuracy: 0.9906 - val_loss: 0.0410 - val_accuracy: 0.9898\n",
            "Epoch 19/20\n",
            "74/74 [==============================] - 1s 10ms/step - loss: 0.0273 - accuracy: 0.9902 - val_loss: 0.0367 - val_accuracy: 0.9898\n",
            "Epoch 20/20\n",
            "74/74 [==============================] - 1s 10ms/step - loss: 0.0262 - accuracy: 0.9902 - val_loss: 0.0411 - val_accuracy: 0.9898\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Evaluate the model and print accuracy in percentages\n",
        "test_loss, test_accuracy = rnn_model.evaluate(X_test_rnn, y_test_encoded)\n",
        "print(f'Test Accuracy: {test_accuracy * 100:.2f}%')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2HIS5zStXkjX",
        "outputId": "13793868-adec-4faa-cd80-0c0f5d5f5299"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "19/19 [==============================] - 0s 6ms/step - loss: 0.0411 - accuracy: 0.9898\n",
            "Test Accuracy: 98.98%\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Voltage-Time Graph (Example from your training data)\n",
        "plt.figure(figsize=(10, 4))\n",
        "# Assuming the first feature (e.g., 'Amplitude') represents voltage-time data\n",
        "ecg_voltage_time = X_train_scaled[:, 0]  # Adjust the index as needed to plot the relevant feature\n",
        "plt.plot(ecg_voltage_time[:1000])  # Plot a limited portion of the signal\n",
        "plt.xlabel('Time (samples)')\n",
        "plt.ylabel('Normalized Voltage')\n",
        "plt.title('ECG Voltage-Time Graph')\n",
        "plt.grid(True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 410
        },
        "id": "1vcabw27YY7V",
        "outputId": "11ed79fa-485f-44a3-b6a8-1c008672d259"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay\n",
        "\n",
        "# Predict on test data\n",
        "y_pred_probs = rnn_model.predict(X_test_rnn)\n",
        "y_pred = np.argmax(y_pred_probs, axis=1)\n",
        "\n",
        "# Generate confusion matrix\n",
        "conf_matrix = confusion_matrix(y_test_encoded, y_pred)\n",
        "display_labels = label_encoder.classes_\n",
        "\n",
        "# Plot the confusion matrix\n",
        "fig, ax = plt.subplots(figsize=(8, 6))\n",
        "ConfusionMatrixDisplay(confusion_matrix=conf_matrix, display_labels=display_labels).plot(ax=ax, cmap='Blues')\n",
        "plt.title('Confusion Matrix')\n",
        "plt.grid(False)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 581
        },
        "id": "DR-miSSPYd2i",
        "outputId": "6a317b80-1bd3-4cfe-a20e-8c9ea52acf37"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "19/19 [==============================] - 2s 6ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "_W_c4d3yZVnC"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}